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WU Junhe, LIN Song, SHI Xiangfeng. Research on the method of rapid and accurate extraction of boundary points by hierarchy[J]. LASER TECHNOLOGY, 2021, 45(5): 571-575. DOI: 10.7510/jgjs.issn.1001-3806.2021.05.006
Citation: WU Junhe, LIN Song, SHI Xiangfeng. Research on the method of rapid and accurate extraction of boundary points by hierarchy[J]. LASER TECHNOLOGY, 2021, 45(5): 571-575. DOI: 10.7510/jgjs.issn.1001-3806.2021.05.006
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Research on the method of rapid and accurate extraction of boundary points by hierarchy

  • 1.

    Huizhou Planning Survey Research Institute, Huizhou 516000, China

  • 2.

    School of Earth Science and Engineering, Hohai University, Nanjing 211100, China

  • 3.

    School of Architectural and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China

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  • Received Date: October 18, 2020
  • Revised Date: November 11, 2020
  • Published Date: September 24, 2021
    Graphical Abstract
    • Abstract
  • In order to improve the extraction efficiency of the boundary point extraction method based on the maximum Angle of adjacent points, a hierarchical fast and accurate boundary point extraction method was proposed. R in the neighborhood at any sampling point set was firstly retrieved, followed by the crude extraction of boundary point according to the distance from the center of gravity point coordinates to the sampling point in the R neighborhood point set. The crude extract of boundary points and their neighborhood points were then projected to the tangent plane, and the maximum angle between adjacent vectors was calculated through the adjacent points and sampling points in the direction of the vector, the final accurate boundary point was then extracted based on the maximum angle. Through theoretical analysis and point cloud data experiment, the feasibility of the algorithm was verified. The results show that this algorithm can respectively shorten the running time by 22.11% and the accuracy by 5.23% compared with the traditional method, and can respectively shorten the running time by 10.99% and improve the accuracy by 7.17% compared with other hierarchical extraction methods. This study provides a reference for boundary extraction in point cloud 3-D reconstruction.
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